Name
Title | ||
|---|---|---|
Removing Spinning Motion from Spherical Video Using a Rotationally Invariant Feature Extractor |
Abstract | ||
|---|---|---|
This paper presents a method for removing rotational motion from an omnidirectional video captured from the viewpoint of a spinning object. For instance, the technique could be used to recover stable footage from spherical video captured from within a football used for competitive sports. The methodology uses a rotationally-invariant algorithm to obtain feature points and descriptors for pairs of successive frames. This information is then abstracted into three-dimensional point clouds, from which the Kabsch algorithm can infer the rotational motion between frames. The resulting rotational matrices are used to remap each equirectangular frame to a reference frame, and thereby offset the effect of frame-to-frame camera rotations. The algorithm has been successfully tested with various styles of footage. Additionally, the codebase implementing our algorithm has been freely shared through an open online repository. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/IECON.2019.8926884 | IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society |
Keywords | Field | DocType |
Omnidirectional Video,Ball Camera,Video De-rotation,Rotating Equirectangular Image | Invariant feature,Spinning,Mechanical engineering,Control engineering,Electronics,Extractor,Engineering | Conference |
Volume | ISSN | ISBN |
1 | 1553-572X | 978-1-7281-4879-3 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matt Slevin | 1 | 0 | 0.34 |
| Paul Cuffe | 2 | 0 | 1.35 |